2011•Journal of Chongqing University of Arts and SciencesRequires access

A mixed conjugate gradient method for unconstrained optimization

Guo Cui-feng

Abstract

A modified conjugate gradient formula and some properties of the new formula are presented.We propose a mixed conjugate gradient algorithm that combines the new formula and DY formula.The algorithm produces a descent direction under Wolf condition.The global convergence of the algorithm is proved,some numerical examples are given.

About this research paper

What this paper is about

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Key concepts: Conjugate gradient method, Derivation of the conjugate gradient method, Nonlinear conjugate gradient method, Conjugate, Conjugate residual method, Gradient descent, Convergence (economics), Mathematics